❮ DogNellaf
RU EN DE
Discuss a project
Case study

Dataset for autopilot

Labeled dataset of road signs for training the autopilot that won the competition

Computer Vision Dataset
Open project ↗

01 Task

There was not enough data in the required class composition to train the traffic sign detector; the open sets did not match the markings and set of signs

02 Solution

I collected and labeled a dataset of road signs, selected images, brought them to a unified format, and annotated them by class. The structure was made to fit a standard learning pipeline so that the data could be picked up without changing the markup

03 Solved tasks

  • Collected and selected images of road signs for the required composition of classes
  • Brought images to a single format
  • Added annotations by class
  • Organized the structure for a standard training pipeline
  • Trained a semi-automatic marker
  • Using the marker, I doubled the dataset
  • Completed the final processing and handed it over to the customer.

04 Result

A ready-made set on which the character detector is immediately trained. The composition of classes is expanded as needed. The autopilot trained on the basis of this dataset won the competition:

Sources

Need a similar project?

Tell me about your task — I'll reply within a day.

Discuss a project